legend

I am plotting point data from two separate layers on a map and would like to display the information of both layers in one legend. Here's some code to illustrate the problem: set.seed(42) lat1 <- rnorm(10, 54, 12) long1 <- rnorm(10, 44, 12) val1 <- rnorm(10, 10, 3) lat2 <- rnorm(10, 54, 12) long2 <- rnorm(10, 44, 12) val2 <- rnorm(10, 10, 3) df1 <- as.data.frame(cbind(long1, lat1, val1)) df2 <- as.data.frame(cbind(long2, lat2, val2)) library(ggplot2) library(scales) f <- ggplot() + geom_point(data=df1, aes(x=lat1, y=long1, size=val1, fill=val1), shape=21, alpha=0.6) + scale_size_continuous

In the following set up, I create a area chart based on the basic example. How do I get the legend for my input automatically or even programatically. For now I get only legend with one item 'a' and the first color. from bokeh.plotting import * ... patches([x2 for a in areas], list(areas.values()), color=colors, alpha=0.8, line_color=None, legend='a', title="hello chart") legend().orientation = "top_right" # what other options, may here? show() What is the format to pass into patches for the legend as value or how can I trigger the legend() to show an item and color for every item in the plot?

I want to show a legend text but without a key (the rectangular box or line that appears by default). plt.hist(x, label = 'something') I don't want the box next to the legend "something". How to remove it? First of all, you may decide not to create a legend at all and instead put some label in to corner of the plot. import matplotlib.pyplot as plt import numpy as np x = np.random.normal(size=160) plt.hist(x) plt.text(0.95,0.95, 'something', ha="right", va="top", transform=plt.gca().transAxes) plt.show() If you already created the legend and want to remove it, you can do so by plt.gca().get

I implemented a composite chart with two bar charts in which one bar chart consists of bars with different colored bars. Now, I want to create a custom legend that represents each color bar (similar to https://dc-js.github.io/dc.js/examples/pie-external-labels.html used for pie chart). Below is the code snippet of what I've done so far: var buttonPress = dc.barChart(composite) .dimension(joyTimeDimension) //.renderlet(colorRenderlet) //.colors('red') .colors(colorbrewer.Set1[5]) .colorDomain([101, 105]) .colorAccessor(function (d) { return d.value; }) .group(btnGroup, "Button Press")

I would like to add a legend to a ggplot2 scatter graph which distinguishes between a regression line and a separate line I've added. For example, library(ggplot2) set.seed(123) data1=rnorm(1000,1,2) data2=rnorm(1000,1,4) DF=data.frame(data1,data2) ggplot(DF,aes(data1,data2))+geom_point(colour="dodgerblue",alpha=0.75)+geom_smooth(method=lm,se=F,aes(colour="Line of best fit"))+ geom_abline(intercept = 0, slope = 1, linetype="dashed", colour="black", alpha=1,size=1) There are two lines on this plot, a red regression line, and a black line with equation y=x . I have managed to add a regression

I have a 35x43 matrix of data with vales ranging from 1-6 and lots of NaNs. I want to NaNs to be white, and the numbers to each be a different colour. I need a legend with the 6 different colour and labels on it. I can achieve most of this with the following code, however the colours in the legend do not match the colours in the figure. See code below figure(6) subplot(1,2,1) imagesc(lut) title('Highest Weighted Predictor variable for each Pixel') ylabel('Longitude') xlabel('Latitude') caxis([0, 7]) myColorMap = jet(7); myColorMap(1,:) = 1; colormap(myColorMap); M = jet(7); % Notice the 3,